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Uso de sistemas de aeronaves remotamente pilotadas (RPAS) en el monitoreo de plantaciones forestalesThis research was carried out at the facilities of the La María experimental farm of the Quevedo State Technical University, with the objective of identifying the feasibility of using PGR in the monitoring of forest plan...
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Open access biomedical research article published in Diagnostics (Basel)....
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Open access biomedical research article published in Genes (Basel)....
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Open access biomedical research article published in Genes (Basel)....
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Open access biomedical research article published in Genes (Basel)....
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Understanding how vision-language models use visual information requires connecting internal representations to model behavior. We present vlmprobe, an open-source library that integrates lens readouts, attention attribu...
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Predicting molecular magnetic properties often requires costly electronic-structure calculations that account for spin-orbit coupling. Inspired by the spinor nature of the underlying electronic states, we introduce eSpin...
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Phosphorene nanotubes (PNTs) exhibit highly tunable electronic properties, yet research has largely focused on high-symmetry armchair and zigzag configurations. This work presents the first systematic study of the geomet...
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Deployed tourism trip planners ingest travel times and ratings as exact numbers, although routing services return travel times that vary with the hour of departure and a platform rating may rest on a handful of reviews o...
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Individual patient data are the gold standard for secondary analysis of time-to-event evidence, but they are rarely released, and reconstruction from a published Kaplan-Meier figure could help. Existing methods all claim...
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This paper explores the potential of Artificial Intelligence (AI) to enable end-to-end automotive design and software development for Software-Defined Vehicles (SDVs). Based on our contributions within the Central Car Se...
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Conditional Flow Models (CFMs) are increasingly being used in place of deterministic predictors across machine learning, including for tasks that were classically formulated as regression. Given their success in such tas...
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In video action detection, modeling the temporal dependencies in continuous video streams is crucial. Previous methods based on deep neural networks can perform frame-level video recognition tasks. However, these methods...
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Motivated by ten years of Learning-Based Control Invited Sessions at the IEEE Conference on Decision and Control (CDC), this tutorial paper reviews key advances at the intersection of machine learning and control. We foc...
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We consider the problem of allocating indivisible goods to agents with additive valuations, under two classic notions of fairness and efficiency: envy-freeness up to any good (EFX) and Pareto optimality. While some of th...